Science

A new analysis charts the expanding use of artificial intelligence throughout the criminal justice system, revealing key trends and potential impacts.

New research maps the specific ways generative AI systems could exacerbate risks for individuals vulnerable to eating disorders, demanding a proactive approach to safety.

Artificial intelligence is rapidly changing our ability to detect and respond to emerging infectious disease threats, offering new tools for proactive surveillance and risk assessment.

A new framework proposes governing AI not by assessing potential harms, but by directly regulating the decisions these systems make.

A new review challenges alarmist predictions of existential risk from artificial intelligence, arguing that immediate societal harms deserve greater attention.

This review outlines a practical framework to help small and medium-sized enterprises navigate the complexities of implementing artificial intelligence for improved financial decision-making.

A novel approach combines deep learning with robust statistical methods to deliver more accurate and trustworthy predictions for dynamic, real-world time series data.

Research reveals that artificial intelligence models are surprisingly adept at pinpointing and explaining errors in code written by beginner programmers.

A new analysis framework proactively identifies risks in human-AI collaboration by scrutinizing the interactions within these teams.

Researchers are developing proactive methods to identify and mitigate potential harms caused by biased artificial intelligence systems before they impact vulnerable populations.